scholarly journals Selective Wander Join: Fast Progressive Visualizations for Data Joins

Informatics ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 14
Author(s):  
Marianne Procopio ◽  
Carlos Scheidegger ◽  
Eugene Wu ◽  
Remco Chang
Keyword(s):  
Convergence Rate ◽  
Importance Sampling ◽  
Sampling Rate ◽  
User Interaction ◽  
Visualization System ◽  
Online Aggregation ◽  
Big Data Visualization ◽  
Visualization Systems ◽  
Analysis Mode ◽  
And Control

Progressive visualization offers a great deal of promise for big data visualization; however, current progressive visualization systems do not allow for continuous interaction. What if users want to see more confident results on a subset of the visualization? This can happen when users are in exploratory analysis mode but want to ask some directed questions of the data as well. In a progressive visualization system, the online aggregation algorithm determines the database sampling rate and resulting convergence rate, not the user. In this paper, we extend a recent method in online aggregation, called Wander Join, that is optimized for queries that join tables, one of the most computationally expensive operations. This extension leverages importance sampling to enable user-driven sampling when data joins are in the query. We applied user interaction techniques that allow the user to view and adjust the convergence rate, providing more transparency and control over the online aggregation process. By leveraging importance sampling, our extension of Wander Join also allows for stratified sampling of groups when there is data distribution skew. We also improve the convergence rate of filtering queries, but with additional overhead costs not needed in the original Wander Join algorithm.

scholarly journals Information Visualization Development Trends in Educational Environment

2020 ◽  
pp. 154-158
Author(s):  
Yang Wang ◽  
Yu.F. Katkhanova
Keyword(s):  
Information Visualization ◽  
Design Education ◽  
User Interaction ◽  
Visual Display ◽  
Educational Environment ◽  
Data Conversion ◽  
Educational Design ◽  
Visualization System ◽  
Software Interface ◽  
Visualization Systems

The article considers the issues of information visualization, its relevance, classification of methods and basic principles of building visualization systems. Visualization methods are classified according to the field of implementation, levels, methods of presenting information and the type of user interaction with the software interface of the visualization system. The process of designing visualization system has been explained, which consists of data conversion, visual display and transformation of various objects that are represented in design education, where visualization, as a language of the designer, occupies a dominant place. As a result, the author proposes to include in the educational design program material on the art of visualization, as well as on models of visualized teaching that correspond to the modern educational environment.

scholarly journals Privacy Care

2021 ◽  
Vol 21 (1) ◽  
pp. 1-32
Author(s):  
Vikram Mehta ◽  
Daniel Gooch ◽  
Arosha Bandara ◽  
Blaine Price ◽  
Bashar Nuseibeh
Keyword(s):  
Ad Hoc ◽  
Physical Space ◽  
User Interaction ◽  
Privacy Management ◽  
Management Tools ◽  
Privacy Concerns ◽  
Tangible Computing ◽  
Need Support ◽  
And Control ◽  
Sample Set

The emergence of ubiquitous computing (UbiComp) environments has increased the risk of undesired access to individuals’ physical space or their information, anytime and anywhere, raising potentially serious privacy concerns. Individuals lack awareness and control of the vulnerabilities in everyday contexts and need support and care in regulating disclosures to their physical and digital selves. Existing GUI-based solutions, however, often feel physically interruptive, socially disruptive, time-consuming and cumbersome. To address such challenges, we investigate the user interaction experience and discuss the need for more tangible and embodied interactions for effective and seamless natural privacy management in everyday UbiComp settings. We propose the Privacy Care interaction framework, which is rooted in the literature of privacy management and tangible computing. Keeping users at the center, Awareness and Control are established as the core parts of our framework. This is supported with three interrelated interaction tenets: Direct, Ready-to-Hand, and Contextual . Direct refers to intuitiveness through metaphor usage. Ready-to-Hand supports granularity, non-intrusiveness, and ad hoc management, through periphery-to-center style attention transitions. Contextual supports customization through modularity and configurability. Together, they aim to provide experience of an embodied privacy care with varied interactions that are calming and yet actively empowering. The framework provides designers of such care with a basis to refer to, to generate effective tangible tools for privacy management in everyday settings. Through five semi-structured focus groups, we explore the privacy challenges faced by a sample set of 15 older adults (aged 60+) across their cyber-physical-social spaces. The results show conformity to our framework, demonstrating the relevance of the facets of the framework to the design of privacy management tools in everyday UbiComp contexts.

scholarly journals Innovative Visualization System Designed to Monitor Parameters of Mining Systems Operation

2018 ◽  
Vol 1 (1) ◽  
pp. 361-368
Author(s):  
Dawid Szurgacz ◽  
Jarosław Brodny
Keyword(s):  
Hard Coal ◽  
Visualization System ◽  
Technical Parameters ◽  
Operation Process ◽  
Hard Coal Mining ◽  
Innovative System ◽  
Working Parameters ◽  
And Control ◽  
Selection Of ◽  
Roof Support

Abstract Mining machines suitable for hard coal mining, due to the specifics of this industry must be characterized by very high technical parameters. In particular, it concerns their durability, reliability and availability. Currently used machines approved for operation in underground conditions meet such requirements. Nevertheless, during their operation it is reasonable to conduct supervision and control of work parameters. This applies to both machine manufacturers and users, which is especially important in the event of a failure. Mine employees should be able control of the entire operation process. This control can be effective thanks to a visualization system developed to monitor the working parameters of mining systems. The paper discusses the innovative system and presents the results of efficiency tests. They concerned the visualization of the operation of a powered roof support. The obtained results indicate that the assumed goal of the system has been achieved. The system is built on elements of industrial automation, which guarantees the reliability of the indicated values. Its graphic layout and selection of the presented parameters are also approved. It should also be emphasized that the system can work with currently operating systems and is easy to expand. According to the Authors, the system should find a wide application in practice.

Explaining Algorithms

2011 ◽  
pp. 2261-2279
Author(s):  
Tomasz Muldner ◽  
Elhadi Shakshuki
Keyword(s):  
Distance Education ◽  
Main Idea ◽  
Top Down ◽  
Levels Of Abstraction ◽  
Visualization System ◽  
Client Server ◽  
Novel Approach ◽  
Visualization Systems ◽  
Explanation System ◽  
Server Architecture

This article presents a novel approach for explaining algorithms that aims to overcome various pedagogical limitations of the current visualization systems. The main idea is that at any given time, a learner is able to focus on a single problem. This problem can be explained, studied, understood, and tested, before the learner moves on to study another problem. Toward this end, a visualization system that explains algorithms at various levels of abstraction has been designed and implemented. In this system, each abstraction is focused on a single operation from the algorithm using various media, including text and an associated visualization. The explanations are designed to help the user to understand basic properties of the operation represented by this abstraction, for example its invariants. The explanation system allows the user to traverse the hierarchy graph, using either a top-down (from primitive operations to general operations) approach or a bottom-up approach. Since the system is implemented using a client-server architecture, it can be used both in the classroom setting and through distance education.

Magnet Mail

2010 ◽  
Vol 1 (2) ◽  
pp. 29-39
Author(s):  
Paulo Castro ◽  
Adriano Lopes
Keyword(s):  
User Interaction ◽  
Mass Market ◽  
Visualization System ◽  
Do So

Magnet Mail (MM) is a visualization system for emails based on a zoomable interface and on manipulation of objects. Users are able to search, analyze and understand relations among email messages as long as they provide searching keywords to do so, as well as interact with graphical objects in the display in a pro-active manner. The underlying concept is a magnet metaphor that relates user interaction, searching keywords and relations among emails. In this paper, the authors present a prototype that interacts with a mass-market email system and most of its graphical implementation relies on the Piccolo toolkit.

Visualization properties for data quality visual assessment: An exploratory case study

2016 ◽  
Vol 16 (2) ◽  
pp. 93-112 ◽  
Author(s):  
João Marcelo Borovina Josko ◽  
João Eduardo Ferreira
Keyword(s):  
Data Quality ◽  
Quality Assessment ◽  
Visual Assessment ◽  
Support Design ◽  
Visualization System ◽  
Data Quality Assessment ◽  
Context Knowledge ◽  
Visualization Systems ◽  
Data Context

Data quality assessment outcomes are essential to ensure useful analytical processes results. Relevant computational approaches provide assessment support, especially to data defects that present more precise rules. However, data defects that are more dependent of data context knowledge challenge the data quality assessment since the process involves human supervision. Visualization systems belong to a class of supervised tools that can make visible data defect structures. Despite their considerable design knowledge encodings, there is little support design to visual quality assessment of data defects. Therefore, this work reports a case study that has explored which and how visualization properties facilitate visual detection of data defect. Its outcomes offer a first set of implications to design visualization system to permit data quality visual assessment.

Modeling and evaluating user behavior in exploratory visual analysis

2016 ◽  
Vol 15 (4) ◽  
pp. 325-339 ◽  
Author(s):  
Khairi Reda ◽  
Andrew E. Johnson ◽  
Michael E. Papka ◽  
Jason Leigh
Keyword(s):  
Visual Analysis ◽  
User Behavior ◽  
Empirical Evaluation ◽  
Visual Exploration ◽  
Chain Process ◽  
Visualization System ◽  
Log Files ◽  
Analytic Process ◽  
Visualization Systems ◽  
Analytical Tools

Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds. There are only a handful of methods that can be used to systematically study how people use visualizations, making it difficult for researchers to capture and characterize the subtlety of cognitive and interaction behaviors users exhibit during visual analysis. To validate and improve visualization design, it is important for researchers to be able to assess and understand how users interact with visualization systems under realistic scenarios. This article presents a methodology for modeling and evaluating the behavior of users in exploratory visual analysis. We model visual exploration using a Markov chain process comprising transitions between mental, interaction, and computational states. These states and the transitions between them can be deduced from a variety of sources, including verbal transcripts, videos and audio recordings, and log files. This model enables the evaluator to characterize the cognitive and computational processes that are essential to insight acquisition in exploratory visual analysis and reconstruct the dynamics of interaction between the user and the visualization system. We illustrate this model with two exemplar user studies, and demonstrate the qualitative and quantitative analytical tools it affords.

scholarly journals Designing, Implementing And Evaluating A Cross-Modal Sensory Substitution System For The Effective Communication Of The Emotional And Informative Aspects Of Music

2021 ◽  
Author(s):  
Michael Pouris
Keyword(s):  
Large Data ◽  
Large Data Sets ◽  
Sensory Substitution ◽  
Data Sets ◽  
Combined System ◽  
Visualization System ◽  
Substitution System ◽  
Music Visualization ◽  
Visualization Systems ◽  
Visual Domain

Visualizations have existed for millennia as ways to communicate information. Visualizations are ubiquitous tools used every day to help navigate cities and aid in learning complex tasks. Tasks are made simpler when applying various visualization methods to large data sets to discover trends that are otherwise difficult to notice. More recently, music visualization systems have been created to convey music in the visual domain; however, they are not based on any psychological model of auditory and visual equivalents. This thesis discusses a music visualization system called MusicViz, which facilitates in the visual communication of the informative and entertainment aspect of music based on psychologically justified translation principals. MusicViz is combined with a vibro-feedback chair called the Emoti-Chair, which translates auditory music to vibrations along the user’s back. The combined system is coined VITA (Visually Immersive and Tactile Animation). A usability evaluation of the VITA showed it is an enjoyable experience.

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